In calculating a one-sample chi-square test, when there are 3 degrees of freedom, the variable has how many categories?
Degrees of freedom = number of categories -1
Thus if degrees of freedom = 3
Number of categories = 4
Note : In one sample chi square test , there is a single categorical variable . For example a toy seller thinks balls of four colors in his shop is equally attractive. Thus in this case , categorical variable is color , which has four categories ( red , yellow , blue and green) . He compares the number of each color ball sold using chi square test to see whether demand is same using chi square test .
degrees of freedom is the number of measurement in the statistic that are free to vary . So for four categories , one is fixed category , rest can vary , thus we have 3 degrees of freedom.
Degrees of freedom = number of categories -1
Thus if degrees of freedom = 3
Number of categories = 4
Note : In one sample chi square test , there is a single categorical variable . For example a toy seller thinks balls of four colors in his shop is equally attractive. Thus in this case , categorical variable is color , which has four categories ( red , yellow , blue and green) . He compares the number of each color ball sold using chi square test to see whether demand is same using chi square test .
degrees of freedom is the number of measurement in the statistic that are free to vary . So for four categories , one is fixed category , rest can vary , thus we have 3 degrees of freedom.
In calculating a one-sample chi-square test, when there are 3 degrees of freedom, the variable has...
When Chi-square distribution is used as a test of independence, the number of degrees of freedom is related to both the number of rows and the number of columns in the contingency table. Select one: True False Question 2 Answer saved Points out of 1.000 Flag question Question text A goodness of fit test can be used to determine if membership in categories of one variable is different as a function of membership in the categories of a second variable...
The Chi-Square Table (Chapter 17) The chi-square table: The degrees of freedom for a given test are listed in the column to the far left; the level of significance is listed in the top row to the right. These are the only two values you need to find the critical values for a chi-square test. Increasing k and a in the chi-square table Record the critical values for a chi-square test, given the following values for k at each level...
a) true b) false 42. For a chi-square distributed random variable with 10 degrees of freedom and a level of sigpificanoe computed value of the test statistics is 16.857. This will lead us to reject the null hypothesis. a) true b) false 43. A chi-square goodness-of-fit test is always conducted as: a. a lower-tail test b. an upper-tail test d. either a lower tail or upper tail test e. a two-tail test 44. A left-tailed area in the chi-square distribution...
3. If a random variable Y has a Chi-square distribution with 9 degrees of freedom. a) The mean of the distribution is b) The standard deviation of the distribution is c) The probability, p( y = 5) = d) The probability, P(Y>8 ) = e) the probability, p( y < 2) = _
-A chi-square test for goodness-of-fit has a sample size of 50. What are the degrees of freedom for this chi square? A. 25 B. The degrees of freedom cannot be determined from the information provided. C. 50 D. 49 -Rodney wants to test the relationship between college graduation rank and annual income. If income is measured on a ratio scale, the appropriate relationship test for Rodney to use is the: A. chi square test of independence B. independent-samples t test...
What is the critical value for a chi-square test with 28 degrees of freedom at the 5 percent level of significance (3 pts)? If the chi-square test statistic were 41.10, what would you conclude regarding the null hypothesis (4 pts)? What would you conclude if the chi-square value were 48.19
The test statistic for goodness of fit has a chi-square distribution with k - 1 degrees of freedom provided that the expected frequencies for all categories are a. 10 or more. b. k or more. c. 2k. d. 5 or more.
Consider a Chi-square random variable with 15 degrees of freedom and 0.1 level of significance. Which of the following test statistic values will result in rejection of the null hypothesis? (1) 21.1. (2) 18.5. (3) 19.8. (4) 23.5. (5) 2.7.
The number of degrees of freedom in a chi-square goodness of fit test depends upon: (1) the number of classes into which the sample observations are classified; (2) the number of observations in the sample; (3) the number of population parameters estimated from the sample data. a. 1 only b. 2 only c. 1 and 2 only d. 1 and 3 only e. none of the above
Assume that a Chi-square test was conducted to test the goodness of fit to a 3:1 ratio and that a Chi-square value of 2.62 was obtained (Table value is equal to 3.84). Should the null hypothesis be accepted? How many degrees of freedom would be associated with this test of significance?